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Document type:
Forschungsdaten 
Publication date:
05.07.2021 
Responsible:
Schneider, Maja 
Authors:
Schneider, Maja ; Körner, Marco 
Author affiliation:
TUM 
Publisher:
TUM 
Title:
TinyEuroCrops 
Time of production:
15.06.2021 
Subject area:
DAT Datenverarbeitung, Informatik; GEO Geowissenschaften; LAN Landbauwissenschaft; UMW Umweltwissenschaften 
Resource type:
Experimente und Beobachtungen / experiments and observations; Statistik und Referenzdaten / statistics and reference data 
Other resource types:
Satellite Data, Reference Data from European Authorities 
Data type:
Tabellen / tables 
Other data type:
GeoJSON, CSV, HDF5 
Description:
TinyEuroCrops is part of a dataset for automatic vegetation classification from multi-spectral and multi-temporal satellite data, annotated with official LIPS (Land Parcel Identification System) reporting data from countries of the European Union 
Method of data assessment:
Curating reference data for crop classes from agencies and authorities, collected the reflectance values for the crop parcels from Sentiel-2 satellite images and processed them to be time series of one representative pixel. 
Links:

This dataset is related to the publication https://arxiv.org/abs/2106.08151
www.eurocrops.tum.de
doi:10.2760/125905

 
Key words:
big data, crops, analysis ready data, machine learning, Earth observation 
Technical remarks:
View and download (4 GB total, 46 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1615987):
rsync rsync://m1615987@dataserv.ub.tum.de/m1615987/ 
Language:
en 
Rights:
by, http://creativecommons.org/licenses/by/4.0